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#### Additional YouTube Videos from Community Members
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-[Upgrade your code with AI: Build Your Own Amazon Q](https://www.youtube.com/watch?v=IF2xQlii4ws) from [Dean Peterson](https://www.linkedin.com/in/deantrepreneur/)
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There are two elements to Kai that is necessary for it to function: the
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**backend** and the **IDE extension**. The backend is responsible for connecting
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to your LLM service, ingesting static analysis reports, and generating
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solutions. The IDE extension is where you can interact with Kai, see
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suggestions, and apply them to your codebase.
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## 🚀 Getting Started
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### Prerequisites
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We recommend new users download a [release of Kai](https://github.com/konveyor/editor-extensions/releases) and then walk through a guided scenario to get a feel of Kai's potential.
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We've streamlined the install experience so you just need to download a `.vsix` file and install it in your VSCode IDE.
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1.[Git](https://git-scm.com/downloads)
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1. A container engine such as [podman](https://podman.io/docs/installation) or
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[docker](https://docs.docker.com/get-docker/). We will provide instructions
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for podman.
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1. Docker-compose or Podman-compose, either one will work. For podman-compose,
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you can install it [here](https://github.com/containers/podman-compose).
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1. Please follow the steps here to proceed with getting started: [docs/getting_started.md](docs/getting_started.md)
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2. After you have Kai installed we encourage you to run through one of our guided scenarios at: [docs/scenarios](docs/scenarios/README.md)
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### Launch the Kai backend with sample data
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##Documentation
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> [!IMPORTANT]
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>
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> Kai is in early development and is not yet ready for production use. We
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> currently recommend checking out the git tag `stable` for the most stable user
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> experience.
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The quickest way to get running is to leverage sample data committed into the
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Kai repo along with the `podman compose up` workflow
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